Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network

@article{Lee2019GlobalSM,
  title={Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network},
  author={Jinhoa Lee and Raehyun Kim and Yookyung Koh and Jaewoo Kang},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={167260-167277}
}
We applied Deep Q-Network with a Convolutional Neural Network function approximator, which takes stock chart images as input for making global stock market predictions. Our model not only yields profit in the stock market of the country whose data was used for training our model but also generally yields profit in global stock markets. We trained our model only on US stock market data and tested it on the stock market data of 31 different countries over 12 years. The portfolios constructed… Expand
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